[FSDP][2/N] Remove params_with_grad
#87480
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awgu
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This was referenced Oct 21, 2022
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/87480
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ghstack-source-id: 0a98d576c4887b164322c01170aad00c927a43f9 Pull Request resolved: #87480
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params_with_gradparams_with_grad
This PR removes the property `params_with_grad` from `FullyShardedDataParallel`. It was introduced when implementing `clip_grad_norm_()` but was not consistently used. Personally, I do not think it makes sense for `FullyShardedDataParallel` to expose this helper because it is not a common paradigm. This PR is technically BC-breaking. However, I checked that no one internally is using this API. [ghstack-poisoned]
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ghstack-source-id: 291ed256981ba2929496cae224548aecf2240059 Pull Request resolved: #87480
This PR removes the property `params_with_grad` from `FullyShardedDataParallel`. It was introduced when implementing `clip_grad_norm_()` but was not consistently used. Personally, I do not think it makes sense for `FullyShardedDataParallel` to expose this helper because it is not a common paradigm. This PR is technically BC-breaking. However, I checked that no one internally is using this API. [ghstack-poisoned]
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ghstack-source-id: b75d378f4f918d32160153e5c95bb16fef9468f6 Pull Request resolved: #87480
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This PR removes the property `params_with_grad` from `FullyShardedDataParallel`. It was introduced when implementing `clip_grad_norm_()` but was not consistently used. Personally, I do not think it makes sense for `FullyShardedDataParallel` to expose this helper because it is not a common paradigm. This PR is technically BC-breaking. However, I checked that no one internally is using this API. cc @ezyang @gchanan [ghstack-poisoned]
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ghstack-source-id: d3ce1d344c03644e6d91300379f2f757a5a36299 Pull Request resolved: #87480
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ghstack-source-id: 291ed256981ba2929496cae224548aecf2240059 Pull Request resolved: pytorch#87480
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This PR removes the property `params_with_grad` from `FullyShardedDataParallel`. It was introduced when implementing `clip_grad_norm_()` but was not consistently used. Personally, I do not think it makes sense for `FullyShardedDataParallel` to expose this helper because it is not a common paradigm. This PR is technically BC-breaking. However, I checked that no one internally is using this API. cc @ezyang @gchanan Pull Request resolved: pytorch#87480 Approved by: https://github.com/rohan-varma
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This PR removes the property `params_with_grad` from `FullyShardedDataParallel`. It was introduced when implementing `clip_grad_norm_()` but was not consistently used. Personally, I do not think it makes sense for `FullyShardedDataParallel` to expose this helper because it is not a common paradigm. This PR is technically BC-breaking. However, I checked that no one internally is using this API. cc @ezyang @gchanan Pull Request resolved: pytorch#87480 Approved by: https://github.com/rohan-varma
kulinseth
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Dec 10, 2022
This PR removes the property `params_with_grad` from `FullyShardedDataParallel`. It was introduced when implementing `clip_grad_norm_()` but was not consistently used. Personally, I do not think it makes sense for `FullyShardedDataParallel` to expose this helper because it is not a common paradigm. This PR is technically BC-breaking. However, I checked that no one internally is using this API. cc @ezyang @gchanan Pull Request resolved: pytorch#87480 Approved by: https://github.com/rohan-varma
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Stack from ghstack:
params_with_grad#87480 [FSDP][2/N] Removeparams_with_gradclip_grad_norm_()and tests #87479 [FSDP][1/N] Reworkclip_grad_norm_()and testsThis PR removes the property
params_with_gradfromFullyShardedDataParallel. It was introduced when implementingclip_grad_norm_()but was not consistently used. Personally, I do not think it makes sense forFullyShardedDataParallelto expose this helper because it is not a common paradigm.This PR is technically BC-breaking. However, I checked that no one internally is using this API.
cc @ezyang @gchanan